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Cited by 2,418

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Developing joint probability distributions of soil water retention characteristics

Carsel, Robert F., Parrish, Rudolph S.·1988·Water Resources Research

Abstract

A method is presented for developing probability density functions for parameters of soil moisture relationships of capillary head [h(θ)] and hydraulic conductivity [K(θ)]. These soil moisture parameters are required for the assessment of water flow and solute transport in unsaturated media. The method employs a statistical multiple regression equation proposed in the literature for estimating [h(θ)] or [K(θ)] relationships using the soil saturated water content and the percentages of sand and clay. In the absence of known statistical distributions for either [h(θ)] or [K(θ)] relationships, the method facilitates modeling by providing variability estimates that can be used to examine the uncertainty associated with water flow or solute transport in unsaturated media.

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Metadata

Authors
Carsel, R. F., & Parrish, R. S.
Venue
Water Resources Research
Published
1988-05
Volume
24
Issue
5
Pages
755-769
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W1990236303
Cited by
2,418
References
1
FWCI
37.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Developing joint probability distributions of soil water retention characteristics. https://app.cochat.ai/papers/10.1029/wr024i005p00755
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Carsel, R. F., & Parrish, R. S. (1988). Developing joint probability distributions of soil water retention characteristics. Water Resources Research. https://doi.org/10.1029/wr024i005p00755

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.